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A method for making group inferences from functional MRI data using independent component analysis
A novel approach for drawing group inferences using ICA of fMRI data is introduced, and its application to a simple visual paradigm that alternately stimulates the left or right visual field is presented.
Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability.
Data is presented suggesting that excellent interrater reliability can be established for diagnosis in a day-and-a-half-long training workshop and on the Structured Interview for Prodromal Syndromes and the Scale of ProDromal Symptoms.
A Baseline for the Multivariate Comparison of Resting-State Networks
A multivariate analytic approach that optimizes sensitivity and reduces unnecessary testing is introduced and is demonstrated by identifying the effects of age and gender on the resting-state networks of 603 healthy adolescents and adults.
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking
A method for functional network connectivity among spatially independent resting-state components in schizophrenia
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms
A careful examination of some of the assumptions behind ICA methodologies is reported, examples of when applying ICA would provide difficult‐to‐interpret results, and suggestions for applying I CA to fMRI data especially when more than one task‐related component is present in the data are offered.
Aberrant "default mode" functional connectivity in schizophrenia.
- A. G. Garrity, G. Pearlson, K. McKiernan, D. Lloyd, K. Kiehl, V. Calhoun
- Psychology, MedicineAmerican Journal of Psychiatry
- 1 March 2007
Schizophrenia is associated with altered temporal frequency and spatial location of the default mode network, and this network may be under- or overmodulated by key regions, including the anterior and posterior cingulate cortex.
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks
Recent TCN studies are reviewed with emphasis on those that use ICA, showing that TCNs are robust, and can be consistently identified at rest and during performance of a cognitive task in healthy individuals and in patients with schizophrenia.